Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Laura Cruz-Reyes"'
Autor:
Henry E. Reyes, Juan Bojórquez, Laura Cruz-Reyes, Sonia E. Ruiz, Alfredo Reyes-Salazar, Edén Bojórquez, Manuel Barraza, Antonio Formisano, Omar Payán, José R. Torres
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
This paper addresses the importance of engineering asset management decisions and control. For this purpose, a Life-Cycle Cost (LCC) analysis is conducted for typical reinforced concrete (R/C) buildings located in Mexico City. The objective of this s
Externí odkaz:
https://doaj.org/article/418d4f40df464a4db79beb47645576de
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
The estimation of structural reliability is a process that requires a large number of computational hours when statistical data are not available since it is necessary to perform a large amount of analysis or numerical simulations to estimate paramet
Externí odkaz:
https://doaj.org/article/8d8d1b87f35e4af3b365782f7c001192
Autor:
Alejandro Castellanos, Laura Cruz-Reyes, Eduardo Fernández, Gilberto Rivera, Claudia Gomez-Santillan, Nelson Rangel-Valdez
Publikováno v:
Mathematics, Vol 10, Iss 3, p 322 (2022)
This paper introduces a strategy to enrich swarm intelligence algorithms with the preferences of the Decision Maker (DM) represented in an ordinal classifier based on interval outranking. Ordinal classification is used to bias the search toward the R
Externí odkaz:
https://doaj.org/article/e882f9ee3cde47ef843789be4a17bf2e
Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization
Autor:
Teodoro Macias-Escobar, Laura Cruz-Reyes, Bernabé Dorronsoro, Héctor Fraire-Huacuja, Nelson Rangel-Valdez, Claudia Gómez-Santillán
Publikováno v:
Technological and Economic Development of Economy (2019)
It is important to know the properties of an optimization problem and the difficulty an algorithm faces to solve it. Population evolvability obtains information related to both elements by analysing the probability of an algorithm to improve current
Externí odkaz:
https://doaj.org/article/804ab6a7bdf7420286e114b9ecc1bad8
Autor:
Eduardo Fernandez, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Gomez-Santillan, Gilberto Rivera-Zarate, Patricia Sanchez-Solis
Publikováno v:
Technological and Economic Development of Economy (2019)
Most evolutionary multi-objective algorithms perform poorly in many objective problems. They normally do not make selective pressure towards the Region of Interest (RoI), the privileged zone in the Pareto frontier that contains solutions important to
Externí odkaz:
https://doaj.org/article/ae7d901df6f24d268b06454afd129043
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4575 (2021)
This paper addresses group multi-objective optimization under a new perspective. For each point in the feasible decision set, satisfaction or dissatisfaction from each group member is determined by a multi-criteria ordinal classification approach, ba
Externí odkaz:
https://doaj.org/article/21119ae625164e5fba71fec2dfcdba50
Publikováno v:
Axioms, Vol 10, Iss 2, p 93 (2021)
This research is a review and analysis paper that offers a transdisciplinary, methodological, and strategic vision for soft computing development towards a wider favorable impact in data analytics. Strategies are defined, explained, and illustrated b
Externí odkaz:
https://doaj.org/article/64879ab71c4c4e0dbfe104bdcf850dbc
Autor:
Teodoro Macias-Escobar, Laura Cruz-Reyes, César Medina-Trejo, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Héctor Fraire-Huacuja
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 2, p 35 (2021)
The decision-making process can be complex and underestimated, where mismanagement could lead to poor results and excessive spending. This situation appears in highly complex multi-criteria problems such as the project portfolio selection (PPS) probl
Externí odkaz:
https://doaj.org/article/05f6d5f6dc58418294fd4fb8d444164c
Autor:
Alejandro Estrada-Padilla, Daniela Lopez-Garcia, Claudia Gómez-Santillán, Héctor Joaquín Fraire-Huacuja, Laura Cruz-Reyes, Nelson Rangel-Valdez, María Lucila Morales-Rodríguez
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 2, p 36 (2021)
A common issue in the Multi-Objective Portfolio Optimization Problem (MOPOP) is the presence of uncertainty that affects individual decisions, e.g., variations on resources or benefits of projects. Fuzzy numbers are successful in dealing with impreci
Externí odkaz:
https://doaj.org/article/17fd3836ac8d43bcb758c9a01cdff090
Autor:
Alejandro Castellanos-Alvarez, Laura Cruz-Reyes, Eduardo Fernandez, Nelson Rangel-Valdez, Claudia Gómez-Santillán, Hector Fraire, José Alfredo Brambila-Hernández
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 2, p 27 (2021)
Most real-world problems require the optimization of multiple objective functions simultaneously, which can conflict with each other. The environment of these problems usually involves imprecise information derived from inaccurate measurements or the
Externí odkaz:
https://doaj.org/article/2f428021f0a04043aa9f654927e1aeaa